Triple
T15573257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Glory cloud |
E374299
|
entity |
| Predicate | occursMostFrequentlyAtTimeOfDay |
P70162
|
FINISHED |
| Object | early morning |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: early morning | Statement: [Morning Glory cloud, occursMostFrequentlyAtTimeOfDay, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursMostFrequentlyAtTimeOfDay Context triple: [Morning Glory cloud, occursMostFrequentlyAtTimeOfDay, early morning]
-
A.
typicalFrequencyWeekdayDaytime
Indicates the usual or most common frequency with which something occurs during daytime hours on weekdays.
-
B.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
C.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
D.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
E.
hasPeakHourFrequency
Indicates how often a service or event occurs during designated peak hours.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.